The automated evaluation using an algorithm would save an enormous amount of time and improve the results, according to Professor Rainer Stiefelhagen from KIT.
The competition showcased how innovative deep learning algorithms can significantly enhance the detection of tumor lesions in medical imaging, reflecting the potential of AI in healthcare.
In the autoPET competition, researchers from Karlsruhe Institute of Technology achieved fifth place, illustrating their capabilities in advancing image analysis techniques for cancer detection.
Imaging techniques like PET and CT are essential for the accurate diagnosis of cancer, as they help in determining the size, location, and type of tumors.
Collection
[
|
...
]